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app-classification-harness

x3nc0n/app-classification-harness

Planned AI harness for classifying PC application purpose with Jev typed decisions.

Automated README summary

Automatically summarized from the README on 30 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A planned classification and evaluation harness for identifying the purpose and category of applications on PCs. Currently planning and Squad scaffolding only; no collector, classifier, or evaluation is built yet.

How it uses Jev

Jev is planned to make three decisions on sanitized application evidence: Choice selects a primary purpose/category from a flat leaf taxonomy; Score rates category fit on a 0-3 rubric; Noul evaluates focused propositions such as whether evidence supports a capability. Results are validated locally, then accepted, flagged for review, or returned unknown.

Primitives:choicescorenoul

Technique worth stealing

Classify each unique product/evidence profile once with cache keys covering identity, evidence hash, model, taxonomy, questions, and policy versions.

View on GitHub

Start using Jev: API key and your first request →

Model judgments from README excerpts

Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.

Models & evaluation dates

Inclusion gate
jev-1.14.0
Project signals
jev-1.14.0
Category
jev-1.14.0
Pattern tags
jev-1.14.0

Evidence

These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.

  • Jev is core to the projectFound in material0.85
  • Shows a System One patternnot found in the excerpt0.22
  • Describes handling uncertaintynot found in the excerpt0.03
  • Reports measured numbersnot found in the excerpt0.02
  • Is a runnable toolnot found in the excerpt0.17
  • Top-10 learning shortlist signalnot found in the excerpt0.03
  • Is a replica of the modelnot found in the excerpt0.06
  • Solves a common problem (0–2)score on a 0–2 scale1.25 / 2
  • About JevFound in material0.97
Signals
Jev is core to the project0.85Shows a System One pattern0.22Describes handling uncertainty0.03Reports measured numbers0.02Is a runnable tool0.17Top-10 learning shortlist signal0.03Is a replica of the model0.0600.51Solves a common problem (0–2)1.25 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.97Inspection0.96Funnel0.91Fail open, fail closed0.65Check-up0.48Flight recorder0.30Blind review0.2200.51

no-judgment band (0.40–0.60)

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 30 Oct 2026.